Data Solutions Engineer II

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At Helix, our mission is simple: to help everyone improve their lives through their DNA. We partner with health systems and life science companies to accelerate the integration of genomic data into clinical practice. Build a future where healthcare is personalized, proactive, and powered by genomics.

The Helix Clinico-genomic Data Solutions Engineering team plays a pivotal role in Helix’s efforts to provide a first‑in‑class clinico‑genomics research dataset for our partners to conduct and publish cutting‑edge genomic studies. We are responsible for building and making these data available for use by both our internal Research and Analytical Teams as well as external Health System Researchers and Life Sciences customers.

Our clinico‑genomic dataset includes clinical and Exome+ sequencing data and is curated to facilitate the discovery of novel genomic disease risks, enhance patient recruitment for clinical studies, support clinical decision‑making, and optimize care pathways. As a Solutions Engineer, you will play a crucial role in enabling our stakeholders to engage with these data and the associated toolings. Additionally, you will collaborate closely with our internal teams to ensure successful onboarding and effective utilization of the data, tools, and platforms created by the team.

• Work closely with our stakeholders, ensuring they have the necessary information needed to work with our datasets.
• Coordinate with internal teams to get the required information to the client.
• Support Partners and Customers in engaging with our clinico‑genomic datasets, tools, and platform.
• Prepare and maintain materials for the data user onboarding experience, including user guides and orientation presentations.
• Gather and incorporate client feedback to iteratively refine the data solution design.
• Design and build data processing pipelines for producing both clinical and genomic datasets.
• Develop strong internal relationships while working cross‑functionally with our Engineering, Research, Bioinformatics, Life Sciences, Product, and Commercial teams.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 2+ years of experience in Solutions Engineering, sales engineering, or a related technical applications role.
• Experience with software development best practices, networking, cloud computing (AWS or GCP), or data processing pipelines.
• Proficient in English with excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences.
• Strong programming skills in Python, R, and SQL.
• Affinity for an engineering culture that emphasizes both quality and agility.
• Experience working with large-scale genomic datasets (e.g., UKBiobank, Allof Us, 1000 Genomes, ExAC/gnom
  
  AD).
• Familiarity with statistical genetics techniques and analysis tools (e.g., GWAS, PheWAS, PRS, burden testing).
• Knowledge of the benefits and challenges of cloud‑based data management and analysis, including hands‑on experience with cloud computing.
• High level of integrity, professionalism, and attention to detail.
• Adaptable in a fast‑paced startup environment where priorities may change quickly and frequently.

• Previous experience in a client‑facing science position and/or in a scientific applications role, working directly with partners in healthcare and/or in the life sciences industry.
• Experience performing data analysis, preferably data mining, pattern recognition, statistical, and/or mathematical programming and modeling to health‑related data.
• Experience with cloud‑based computational platforms such as DNANexus, Terra, Databricks, etc.
• Previous experience with EHR or Claims data and/or clinical data models (e.g., OMOP CDM).

• Recruiter Screen
• Manager Screen / Tech Screen
• Onsite Offer

• Base Salary: $106,000 – $151,750
• Annual Bonus: 10% of your annual salary
• Equity:
  Generous equity at Helix (specifics discussed during offer).